POSTDOCTORAL POSITIONS

Vanderbilt University EECS
Location: 
Nashville Tennessee
Job Type: 
Full Time
Closing Date: 
Sunday, December 31, 2017

MULTIPLE POSTDOCTORAL POSITIONS IN BIG DATA MEDICAL IMAGING, DEEP LEARNING, AND MRI/CT SEGMENTATION WITH SPECIALIZATIONS IN TRAUMATIC BRAIN INJURY AND NEUROIMAGING.

The Medical-image Analysis and Statistical Interpretation (MASI) Laboratory in the Vanderbilt University Department of Electrical Engineering and Computer Science has openings for multiple postdoctoral fellows with experience in medical image processing and high-performance computing. Candidates with experience in robust image segmentation, multi-atlas labeling, machine learning, neuroimaging, or traumatic brain injury are especially encouraged to apply. The MASI Lab investigates new technologies and methods to enable large-scale analysis of neuroimaging data for biomedical research and clinical applications.

General Description:
The research is conducted in collaboration with a multidisciplinary group of scientists employing advanced volumetric-, surface-, and connectivity-based magnetic resonance imaging and secondary analysis of clinically acquired images to inform studies of disease, recovery, and regeneration. These positions are funded, in part, by grants from the National Institutes of Health and Department of Defense.

The research is conducted in partnership with the VUIIS Center for Computational Imaging (CCI) and the ImageVU facilities. Since 2010, our systems have supported 354 IRB approved projects with over 76,781 MRI and CT sessions and performed nearly 1 million image analyses. The ImageVU project has integrated nearly 200 million Radiological images with Vanderbilt’s long-standing Synthetic Derivative and BioVU Databanks. Ongoing MASI lab research seeks to leverage these resources to use scalable MRI and CT image processing to create new technologies that improve patient care.

We are seeking candidates who are interested in conducting studies in image analysis, theoretical model development, statistical research, and informatics explorations. The successful candidates should be creative and able to work as part of a multi-disciplinary group with physicians, physicists, physiologists, and engineers. A PhD in Electrical Engineering, Computer Science, Biomedical Engineering, Physics, or a related field is required. Mentorship of more junior researchers will be important. Proven experience with scientific programming including Python, Matlab, Java, or C/C++ is mandatory. Strong verbal and written communication skills and ability to multitask are essential. Previous MRI, CT and medical imaging experience are helpful, but not required. An interest in medically oriented signal processing and technologies to improve patient care are a must.

Interested applicants should contact: bennett.landman@vanderbilt.edu